Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/ptb/g1/S0092.hea (709 bytes) 
S0092 12 1000 115200
S0092.mat 16x1+24 1000.0(0)/mv 16 0 -356 21142 0 I
S0092.mat 16x1+24 1000.0(0)/mv 16 0 642 -12548 0 II
S0092.mat 16x1+24 1000.0(0)/mv 16 0 997 8584 0 III
S0092.mat 16x1+24 1000.0(0)/mv 16 0 -143 -11192 0 aVR
S0092.mat 16x1+24 1000.0(0)/mv 16 0 -676 -6650 0 aVL
S0092.mat 16x1+24 1000.0(0)/mv 16 0 819 -31708 0 aVF
S0092.mat 16x1+24 1000.0(0)/mv 16 0 280 -22532 0 V1
S0092.mat 16x1+24 1000.0(0)/mv 16 0 36 -2754 0 V2
S0092.mat 16x1+24 1000.0(0)/mv 16 0 -172 24214 0 V3
S0092.mat 16x1+24 1000.0(0)/mv 16 0 -53 3360 0 V4
S0092.mat 16x1+24 1000.0(0)/mv 16 0 -80 -17064 0 V5
S0092.mat 16x1+24 1000.0(0)/mv 16 0 -272 25719 0 V6
# Age: 65
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown